13 Ofertas de Machine Learning en Colombia

AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)

What you will do

Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;

Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;

Gather and analyze data from various sources to train and refine predictive models;

Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;

Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;

Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.

Must haves 

Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;

3+ years of experience in data science, with a focus on SEO or digital marketing preferred;

Proven track record of developing and implementing predictive models to drive business outcomes;

Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;

Statistical modeling, particularly regression;

Python for data analysis, modeling, and automation;

Experience with SQL and data wrangling large datasets with Snowflake or similar;

Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;

Good English and communication skills.

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

• Student's experience
• Colombia
• Intermediate
• Full-time

About TripleTen

TripleTen is a service that empowers individuals, regardless of their prior experience, to embark on the exciting and challenging journey of mastering tech professions. Our bootcamps focus on training students in software engineering, data science, business intelligence analytics, and QA engineering in a feasible and accessible way, ultimately leading them to thrive in a new career.

Our mission is to ensure that every student has the opportunity to successfully master a new profession, find their purpose, and become a valuable member of the tech industry.

TripleTen is a remote first organization mirroring our students who complete our bootcamps in a remote environment.

In the Role

Our Instructors are the role models for the students studying on our Data Science program. They mentor US based students, help them with difficult concepts and assignments, teach them the skills necessary to be a great DS professional. They guide students through the program and into their future careers, making sure all students get the most out of both regardless of their background.

**This is a full-time remote contract and eligible candidates must be based outside the United States**

As an Instructor you will be a big part of students’ educational process and will:

• Share your professional insights and best practices to support the learning community
• Review student projects and provide feedback based on program standards
• Write clear, actionable feedback to help students improve and meet expectations
• Support students in text by explaining concepts, troubleshooting code, and clarifying project or review questions

• At least 1-3 years of hands-on experience in Data Science - including Python, advanced SQL, and a solid grasp of Machine Learning fundamentals
• Ability to clearly explain topics like EDA, SDA, and Machine Learning in a way that’s accessible to beginners
• 1+ years of professional experience in the tech industry - experience with the U.S. market is a plus
• Availability for full-time collaboration (approximately 40 hours per week)
• A genuine passion for teaching, sharing knowledge, and staying up to date with the evolving field of Data Science
• Fluent English : this role involves speaking directly with English-speaking students, so strong spoken and written communication is essential
• Must be based outside the United States.

We appreciate it if you have:

• Teaching or tutoring experience
• Experience in deeper DS concepts (such as Computer Vision and Sentiment Analysis)
• Have your own experience as a student online, and the desire to help create the best place in the world to study Data Science

• Fixed monthly compensation of $2,300-3,500 (compensation will vary based on experience)
• Fully remote role with a consistent weekly schedule, 8-hour workdays, five days a week, scheduled between 10 AM and 2 AM ET (Monday through Sunday). Your exact working hours will be confirmed during the interview process.
• Free in-house training to help you grow as a skilled Instructor and role model - including communication style, soft skills, and student engagement techniques
• Opportunities to grow your visibility as a public expert in the field
• Cross-cultural collaboration and the chance to connect with passionate teammates who love what they do

We're excited to get to know you and work together ?

What to expect from the hiring process:

The hiring process includes a check of your technical knowledge and teaching skills - this may happen through a technical assignment or a live (technical) interview.

While the usual steps include a screening, a technical evaluation, and a final conversation, the exact order may vary depending on the program. We’ll guide you through each step along the way.

Disclosures

• At this time we are unable to offer H1B sponsorship opportunities in the USA.
• This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.
• TripleTen is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, color, religion, sex, national original, age, religion, disability, marital status, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.

Buscamos a una persona que tenga experiencia en el mundo de data & analytics y sea capaz de diseñar, construir y desplegar sistemas de IA generativa (RAG, agentes) que transformen datos complejos en insights accionables y productos inteligentes.

Funciones del puesto

• Desarrollo de productos de GenAI para automatización inteligente, análisis de documentos y síntesis de información.
• Implementación de pipelines de MLOps especializados en modelos generativos, incluyendo versionado, monitoreo y governance de LLMs.
• Análisis para soporte a la toma de decisiones en las áreas de negocio y resolución de problemas de calidad de datos.
• Definición de estrategias de mejora continua en habilidades técnicas, como diseño y aplicación de procesos de limpieza de datos (Data Cleansing).
• Gestión y organización de las expectativas de los clientes, avances, logros, información y participación en el proyecto.
• Soporte para la explotación analítica de plataformas de big data mediante configuración y tuning de algoritmos.
• Experiencia comprobada con LLMs y frameworks de GenAI (LangChain, LlamaIndex, Haystack, AutoGen, CrewAi, etc.)
• Construcción de sistemas RAG y Agentes
• MLOps para GenAI como MLFlow y despliegue de modelos en producción
• Desarrollo en plataformas de nube (Azure, AWS, Databricks).

Algunos de nuestros beneficios son:

Excelente ambiente laboral y estabilidad en una empresa que crece a doble dígito desde hace 5 años.

Posibilidad de trabajo híbrido o remoto full-time desde cualquier lugar de Argentina.

Revisiones salariales semestrales.

Reintegro de conectividad.

Asesoramiento financiero personalizado por expertos en inversiones.

️Vacaciones extras, con 5 días comodines para disfrutar a lo largo del año.

Regalos y presentes en fechas e hitos especiales.

Desarrollo técnico y profesional, con participación en proyectos desafiantes.

Cursos de primer nivel en universidades.

️Certificaciones cubiertas por la empresa en tecnologías principales (Microsoft, AWS, Databricks, dbt, etc.)

Espacios de team building y trabajo en equipo.

Cobertura médica de primer nivel para ti y tu familia.

Plan de referidos internos.

Nivel mínimo de educación: Universitario.

Somos una consultora que transforma datos en información. Implementamos soluciones personalizadas que ayudan a las personas a tomar mejores decisiones usando datos.

Contamos con un equipo interdisciplinario de más de 400 talentos, con clientes en LATAM, EEUU y Europa. Nuestras oficinas están en Argentina, Colombia, España y Estados Unidos.

Nuestra historia comenzó en 2007, y en 2025 nos fusionamos con Lovelytics , una consultora líder en data analytics e IA en EEUU, para convertirnos en la principal empresa de consultoría en datos e IA en América. Esta fusión nos permitió expandir y ofrecer mejores oportunidades a nuestros equipos y clientes.

Fomentamos una cultura abierta, inclusiva, desafiante, colaborativa y de aprendizaje continuo.

Company Overview

Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer many opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries.

We are seeking three (3) Senior AI Engineers to lead the development and optimization of cutting-edge AI features, with a particular focus on Object Detection and Large Language Model (LLM) applications. You will be a key contributor to the AI feature pipeline, using your technical expertise to solve complex problems, guide the engineering team, and help drive innovation in Computer Vision and applied AI technologies.

Position Title: Senior AI Engineer

Location: Hybrid / Remote - Colombia

What you will be doing

● Oversee and optimize the existing AI feature pipeline through strategic improvements, bug resolution, and performance tuning.
● Design, develop, and deploy new AI features adhering to best practices and documentation standards.
● Provide technical leadership by establishing standards, mentoring team members, and conducting code reviews and pair programming sessions.
● Guide the team through problem-solving discussions and contribute to a collaborative, knowledge-sharing environment.
● Stay current with the latest industry trends in AI, ML, LLMs, and Computer Vision to inform development strategies.
● Collaborate with cross-functional stakeholders, translating complex technical concepts into business value and actionable plans.

Requirements & Qualifications

To excel in this role, you should possess:

● Advanced experience in building and maintaining Machine Learning datasets.
● Intermediate Python skills, particularly for AI and ML applications.
● Experience working with LLMs, including RAG pipelines and LLM-based image processing.
● Experience implementing advanced AI patterns such as RAG, Agentic workflows, Multi-Agent Architectures, MCPC Server integrations, and Prompt Engineering techniques.
● Experience using automation tools like n8n to orchestrate workflows, integrate APIs, and streamline data or model operations within AI pipelines.
● Hands-on experience with cloud platforms, particularly Azure (currently in use), and familiarity with GCP.
● Solid understanding of Git and version control best practices.
● Proven leadership and mentorship abilities, with experience guiding teams and conducting collaborative development sessions.
● Excellent communication skills and the ability to convey technical information to both engineering teams and business stakeholders.
● Strong analytical thinking, attention to detail, and commitment to code quality and documentation
● A proactive mindset with a strong sense of ownership—takes initiative, asks questions, performs research, and drives solutions forward with a positive attitude.

Why you will love Lean Tech:

● Join a powerful tech workforce and help us change the world through technology
● Professional development opportunities with international customers
● Collaborative work environment
● Career path and mentorship programs that will lead to new levels.

Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will be vital to our continued success. Lean Tech is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Ideal candidates will have a strong foundation in AI/ML, cloud platforms, and data engineering. They will use these skills as tools for building intelligent systems that support real-world digital operations. This role offers the opportunity to work at the intersection of cloud technologies, AI, and commerce enablement, driving value through scalable insights and automation.

We are seeking an AI Engineer to join our growing data and intelligence team. If you enjoy solving complex business problems using advanced AI/ML tools and cloud-native solutions—while working with diverse data from digital commerce, marketing, and content platforms—read on!

• Design, build, and scale AI/ML solutions using cloud-native tools across GCP, Azure, and AWS to support use cases like anomaly detection, content classification, predictive KPIs, and intelligent workflow automation.
• Leverage Databricks to develop unified data pipelines, orchestrate model training/inference workflows, and support real-time decisioning across multiple systems.
• Collaborate with data analysts, platform engineers, and business stakeholders to operationalize models that drive measurable impact (e.g., SLA improvements, user behavior insights, conversion predictions).
• Build AI-powered dashboards and explainable insights using Power BI, Tableau, or Looker—enabling business users to make informed decisions backed by models.
• Apply advanced techniques (e.g., NLP, time series forecasting, clustering) to optimize platform stability, personalization, and operational readiness.
• Integrate AI solutions with platform telemetry (e.g., observability logs, ticket metadata, content usage stats) to surface proactive insights and reduce downstream escalations.
• Champion data integrity, reusability, and responsible AI practices across the lifecycle of development, deployment, and monitoring.
• Establish performance monitoring, alerting, and drift detection mechanisms to ensure model integrity and business alignment post-deployment.
• Support conversational analytics through GenAI/LLM interfaces for natural-language querying of marketing and commerce data.
• Architect real-time inferencing capabilities using event-driven tools (e.g., Pub/Sub, Kafka) and integrate with commerce or marketing platforms for next-best-action recommendations.

To qualify, candidates should meet all minimum qualifications below. Even if you do not meet all preferred qualifications, we encourage you to apply.

• 5+ years of experience building and deploying machine learning models in production environments.
• Proficiency with Databricks and cloud-native ML tooling across GCP (Vertex AI), Azure ML, or AWS SageMaker.
• Strong programming skills in Python and SQL; experience with frameworks such as scikit-learn, TensorFlow, PyTorch, or MLflow.
• Experience building data pipelines, training workflows, and model-serving systems in enterprise environments.
• Experience creating AI-integrated dashboards or tools using Power BI, Tableau, or Looker.
• Ability to collaborate with cross-functional teams including product owners, analysts, QA, and DevOps.
• Experience deploying models in GCP, especially with Vertex AI Pipelines, BigQuery ML, and GenAI Studio or similar.
• Understanding of data product thinking—turning ML insights into reusable APIs, dashboards, or workflows.
• Hands-on with model explainability, governance, and bias detection tools (e.g., What-If Tool, SHAP, Model Cards).

• Exposure to multi-platform digital ecosystems (e.g., commerce platforms, content management, observability tooling, customer data platforms).
• Familiarity with orchestration tools like Airflow or event-based workflows using Pub/Sub, Kafka, or Event Grid.
• Experience integrating ML models into monitoring systems or observability stacks (e.g., ELK, Prometheus, Grafana).
• Understanding of data governance and MLOps best practices (e.g., drift detection, version control, explainability).
• Strong communication skills to translate technical findings into business narratives.
• Previous experience contributing to AI strategy and solution architecture in enterprise settings.
• Experience with LLM/GenAI, especially for insights extraction and conversational UX.
• Experience in retail or multi-brand global ecosystems.
• Worked in environments requiring cross-platform telemetry aggregation—logs, content stats, error traces, SLA metadata, etc.
• Experience with multi-region data architectures and compliance-aware ML deployment.

After applying, you will be contacted if your skills and experience match. Be cautious of recruitment fraud—only engage with '.

We support inclusive hiring and reasonable adjustments. Contact us at if needed.

Valtech is an experience innovation company that helps brands unlock value through data, AI, creativity, and technology. Our global team of 6,500 professionals in over 60 offices work with organizations like L’Oreal, NatWest, DWP, P&G, Volkswagen, and the US Department of Agriculture.

We are committed to creating an equitable workplace where everyone can thrive and grow. At Valtech, we believe in transforming through action, not just words.

Reports To : Director of Product Development

We are looking for a highly skilled AI Agent Engineer to develop autonomous AI agents that interact, reason, and adapt to dynamic environments. You will design intelligent systems that utilize machine learning models, natural language processing (NLP), and reinforcement learning techniques to create agents capable of reasoning, learning, and decision-making in real-time.

Responsibilities:
Agent Design: Develop architectures for autonomous AI agents, utilizing techniques like reinforcement learning (RL), multi-agent systems (MAS), and decision-making frameworks (e.g., Markov Decision Processes).

NLP & Dialogue Systems: Build conversational AI agents using state-of-the-art NLP techniques (e.g., transformers, BERT, GPT-4, T5) and frameworks like spaCy or Rasa.

ML Model Integration: Train, fine-tune, and optimize deep learning models (using TensorFlow, PyTorch, or Keras) for various agent tasks like perception, planning, and execution.

Autonomous Learning: Implement systems for continuous learning and adaptation using reinforcement learning (RL), supervised, and unsupervised learning methods.

AI Ethics: Incorporate fairness, interpretability, and transparency into AI agents, ensuring compliance with ethical AI principles.

Agent Integration: Design and implement systems to integrate AI agents into existing products, ensuring performance and reliability under production loads.

Evaluation: Set up testing and evaluation pipelines for measuring agent performance (accuracy, task completion rate, response time) and improvement.

Technical Skills:
Machine Learning: Deep understanding of reinforcement learning, deep learning (CNNs, RNNs), NLP, and computer vision techniques.

NLP Frameworks: Expertise in transformer models (e.g., GPT-3/4, BERT, T5), and frameworks such as spaCy, Hugging Face Transformers, AllenNLP, and OpenAI API.

Frameworks: Proficient in deep learning frameworks like TensorFlow, PyTorch, Keras, and OpenAI Gym for reinforcement learning.

Algorithms: Familiarity with search algorithms, decision trees, and Markov models for autonomous decision-making.

Programming: Advanced proficiency in Python, C++, and potentially Java for high-performance applications.

Cloud Services: Familiarity with cloud-based AI services (AWS SageMaker, Google AI Platform) for scalable model training and deployment.

Nice to Have:
Experience with multi-agent reinforcement learning (MARL).

Knowledge of graph neural networks or neural-symbolic systems.

Experience working with edge AI and deployment on IoT devices.

Colombia

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for a: Senior Data Scientist / MLOps / AI Engineer

Requirements :
• 4+ years of experience working as a Data Scientist, MLOps, or AI Engineer.
• 2+ years of experience with SQL.
• 3+ years of experience with Python for Data related tasks.
• Solid understanding of Machine Learning and statistics theory and foundations.
• Solid understanding of the MLOps process, turning a static model into a live, adaptable and deployable process.
• Intermediate level understanding of GenAI, LLMs, and RAG.
• Solid experience using different Cloud Services to develop and integrate solutions (Google Cloud is a plus)

Required Hands-on Practice With:
• ML models (regression, classification, clustering). From business definition to training, validation, and deployment.
• ML pipelines following best MLOps practices.
• LLMs and GenAI frameworks (Vector Databases, Llama index, Lang Chain, Lang Graph, etc.)
• Collaborative Development using git repos and branches
• Nice to have: Experience using Computer Vision models like YOLO

Main responsibilities:
• Creating MLOps pipelines to put into production static models and solutions, using Git, Jenkins, Airflow, Docker and Kubernetes
• Develop custom ML models to solve business problems
• Develop and improve performance of existing GenAI Chatbots and agents
• Leverage existing Computer Vision models to create custom solutions.

We offer:

• Statutory & Major benefits
• Personal Growth
• Attractive benefits plan

Come and meet us on: on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina Spota

#LI-MM3

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At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

A technology-driven risk and compliance platform that empowers businesses to manage third-party insurance requirements with confidence. By combining deep insurance expertise with modern AI tools, they deliver real-time insights, reduce risk exposure, and streamline operations. Through their newest platform, they are redefining certificate of insurance tracking with automation and intelligent workflows that simplify complex compliance processes and support business growth.

We’re looking for an AI Engineer to help build scalable AI-powered systems using Large Language Models (LLMs) for document understanding, retrieval-augmented generation, and intelligent classification tasks. This is a hands-on role ideal for someone who thrives on shipping real-world AI applications, collaborating cross-functionally with engineering and product teams, and applying state-of-the-art NLP techniques to practical use cases. You’ll play a key part in designing and optimizing LLM pipelines that drive smarter workflows, improve automation, and enhance the customer experience.

• Design and implement systems that integrate LLMs into production environments (e.g., summarization, classification, RAG pipelines).

• Fine-tune or adapt foundation models to suit domain-specific use cases.

• Build and maintain prompt-based and retrieval-augmented workflows to improve accuracy and context.

• Evaluate and benchmark LLM performance on custom tasks and datasets.

• Collaborate with product, design, and engineering teams to build end-user features powered by AI.

• Monitor and optimize inference performance, latency, and cost.

• Stay current with the latest in NLP research, tooling, and model architectures.

• 3+ years in AI/ML engineering, with at least 1 year of hands-on work with LLMs.

• Proficiency in Python and experience integrating models via APIs (e.g., OpenAI, Hugging Face, LangChain).

• Understanding of embeddings, vector search, and semantic retrieval techniques.

• Familiarity with prompt engineering, model evaluation, and fine-tuning practices.

• Demonstrated experience contributing to deployed AI-powered products or internal tools.

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.

• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.

• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.

• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.

• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

• A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.

• Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.

• Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply now!